Projects per year
Abstract
We address the process of copying in Artificial Life organisms. Copying is a source of mutations, a crucial component in evolution. We propose that rich copying mechanisms, and thereby rich evolutionary systems, can be obtained by embodying the copying process in a lower-level simulation.
We demonstrate an embodied copying process that has the potential to alter its own mutation rate, without having the concept of a mutation rate parameter explicit in the system.
We demonstrate an embodied copying process that has the potential to alter its own mutation rate, without having the concept of a mutation rate parameter explicit in the system.
Original language | Undefined/Unknown |
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Publication status | Published - 2011 |
Projects
- 1 Finished
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PLAZZMID: Evolutionary algorithms from bacterial
2/06/08 → 30/11/11
Project: Research project (funded) › Research